Package TateyamaVegetation Documentation
1 Function:
Domin_Krajina
Documentation:
クロステーブル作成 被度→被度階級
Description:
クロステーブル作成 被度→被度階級
Usage:
Domin_Krajina(cv)
Arguments:
cv:
Examples:
Domin_Krajina(26.5)
Examples (from .Rd):
### Name: Domin_Krajina
### Title: クロステーブル作成 被度→被度階級
### Aliases: Domin_Krajina
### ** Examples
Domin_Krajina(26.5)
Executed Example:
try(example('Domin_Krajina', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## Dmn_Kr> Domin_Krajina(26.5)
## [1] 62 Function:
RData_ForestTrees
Documentation:
data/RData
Description:
data/RData
Usage:
RData_ForestTrees()
Examples:
str(ForestTrees)
head(ForestTrees)
Examples (from .Rd):
### Name: RData_ForestTrees
### Title: data/RData
### Aliases: RData_ForestTrees
### ** Examples
str(ForestTrees)
head(ForestTrees)
Executed Example:
try(example('RData_ForestTrees', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## RDt_FT> str(ForestTrees)
## 'data.frame': 3821 obs. of 20 variables:
## $ pn : int 1 1 1 1 1 1 1 1 1 1 ...
## $ plot: chr "Bijodaira" "Bijodaira" "Bijodaira" "Bijodaira" ...
## $ lb : int 1 2 550 551 552 553 554 555 556 3 ...
## $ sp : chr "ミズナラ" "スギ" "スギ" "スギ" ...
## $ d01 : num NA NA 53.5 54.2 47.3 23.1 86.5 36.6 75.8 NA ...
## $ d02 : num NA 10.4 51.9 56.7 48.4 23.2 86.5 36 76.5 NA ...
## $ d03 : num 10.3 11 52.1 58 49.1 23 87.3 35.6 77.5 10.9 ...
## $ d04 : num 11.2 11.5 51.8 59.2 49.6 22.9 87.7 36.2 78.4 11.9 ...
## $ d05 : num 12.1 12 52.1 60.4 50.5 22.9 89.2 36.5 79.4 12.9 ...
## $ d06 : num 13.3 12.7 52.2 61.7 51.1 22.7 89.1 36.8 80.6 13.9 ...
## $ d07 : num 14.2 13.7 52.3 63 52.5 22.8 89.8 37.2 81.6 15.1 ...
## $ f01 : int NA NA 3 4 4 2 4 3 5 NA ...
## $ f02 : int NA 3 2 3 4 2 4 4 5 NA ...
## $ f03 : int 5 3 3 4 4 2 5 4 5 5 ...
## $ f04 : int 5 3 3 4 4 2 4 4 5 5 ...
## $ f05 : int 5 3 3 4 4 1 4 4 5 5 ...
## $ f06 : int 5 2 3 4 3 1 4 3 5 5 ...
## $ f07 : int 5 2 3 4 4 1 4 3 5 5 ...
## $ x : num 98.8 99.9 93 95.6 94.9 ...
## $ y : num 2.08 4.7 1.73 6.32 4.94 ...
##
## RDt_FT> head(ForestTrees)
## pn plot lb sp d01 d02 d03 d04 d05 d06 d07 f01 f02 f03 f04 f05 f06 f07 x y
## 1 1 Bijodaira 1 ミズナラ NA NA 10.3 11.2 12.1 13.3 14.2 NA NA 5 5 5 5 5 98.8000 2.08000
## 2 1 Bijodaira 2 スギ NA 10.4 11.0 11.5 12.0 12.7 13.7 NA 3 3 3 3 2 2 99.9200 4.70000
## 3 1 Bijodaira 550 スギ 53.5 51.9 52.1 51.8 52.1 52.2 52.3 3 2 3 3 3 3 3 93.0186 1.72857
## 4 1 Bijodaira 551 スギ 54.2 56.7 58.0 59.2 60.4 61.7 63.0 4 3 4 4 4 4 4 95.6084 6.31505
## 5 1 Bijodaira 552 スギ 47.3 48.4 49.1 49.6 50.5 51.1 52.5 4 4 4 4 4 3 4 94.8704 4.93889
## 6 1 Bijodaira 553 スギ 23.1 23.2 23.0 22.9 22.9 22.7 22.8 2 2 2 2 1 1 1 92.3235 6.894093 Function:
RData_LandMarks
Documentation:
data/RData
Description:
data/RData
Usage:
RData_LandMarks()
Examples:
head(LandMarks)
Examples (from .Rd):
### Name: RData_LandMarks
### Title: data/RData
### Aliases: RData_LandMarks
### ** Examples
head(LandMarks)
Executed Example:
try(example('RData_LandMarks', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## RDt_LM> head(LandMarks)
## plot sp lb x y z memo
## 1 Bijodaira stream1 渓流1 31.31 0.32 1029.983
## 2 Bijodaira stream1 渓流2 30.01 5.20 1030.603
## 3 Bijodaira stream1 渓流3 27.54 10.57 1031.363
## 4 Bijodaira stream1 渓流4 25.00 16.99 1031.563
## 5 Bijodaira stream1 渓流5 24.45 20.55 1031.692
## 6 Bijodaira stream1 渓流6 25.55 25.05 1032.3224 Function:
RData_PlotProfile
Documentation:
data/RData
Description:
data/RData
Usage:
RData_PlotProfile()
Examples:
head(PlotProfile)
Examples (from .Rd):
### Name: RData_PlotProfile
### Title: data/RData
### Aliases: RData_PlotProfile
### ** Examples
head(PlotProfile)
Executed Example:
try(example('RData_PlotProfile', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## RDt_PP> head(PlotProfile)
## no na jna alt fyr yr1 yr2 yr3 yr4 yr5 yr6 yr7 limD step Area px py grid cont cmin cmax cint cextype survey stream1 stream2 walk1 walk2 brankline ido kei Temperature WI CI Precipitation
## 1 1 Bijodaira 美女平 1040 2021 1998 2003 2006 2009 2012 2016 2021 10 10 10000 100 100 10 TRUE 1000 1100 1 1 TRUE TRUE FALSE TRUE TRUE 22 36.58285 137.4667 8.1 63.3 -26.3 3570
## 2 2 Bunazaka ブナ坂 1090 2020 1998 2002 2005 2008 2011 2015 2020 10 10 10000 100 100 10 TRUE 1070 1110 1 1 TRUE TRUE TRUE FALSE FALSE 285 36.57857 137.4676 8.1 64.4 -27.8 3352
## 3 3 Bunadaira ブナ平 1190 2023 1999 2003 2006 2009 2012 2017 2023 10 10 10000 100 100 10 TRUE 1170 1200 1 1 TRUE FALSE FALSE TRUE FALSE NA 36.58086 137.4795 7.9 61.9 -26.9 3440
## 4 4 Kaminokodaira 上ノ小平 1430 2024 2000 2004 2007 2010 2013 2018 2024 10 10 10000 100 100 10 TRUE 1400 1450 2 1 FALSE TRUE TRUE FALSE FALSE NA 36.57132 137.5068 6.4 53.2 -35.9 3557
## 5 5 Matsuotoge 松尾峠 1970 2022 1998 2002 2005 2008 2011 2016 2022 10 10 5000 50 100 10 TRUE 1970 2000 2 2 FALSE FALSE FALSE FALSE FALSE NA 36.56189 137.5526 3.7 40.0 -54.4 3633
## 6 6 Mimatsu 美松 1960 2019 1999 2003 2007 2010 2014 2019 NA 10 10 5000 50 100 10 TRUE 1940 2000 2 2 FALSE TRUE FALSE FALSE FALSE NA 36.57068 137.5596 3.4 36.6 -55.2 3459
## SnowDepth
## 1 284
## 2 256
## 3 273
## 4 323
## 5 461
## 6 4115 Function:
RData_allXYZ
Documentation:
data/RData 毎木xyz + topo xyz(中島さん@plot.csv)
Description:
data/RData 毎木xyz + topo xyz(中島さん@plot.csv)
Usage:
RData_allXYZ()
Examples:
allXYZ
Examples (from .Rd):
### Name: RData_allXYZ
### Title: data/RData 毎木xyz + topo xyz(中島さん@plot.csv)
### Aliases: RData_allXYZ
### ** Examples
allXYZ
Executed Example:
try(example('RData_allXYZ', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## RD_XYZ> allXYZ
## plot sp lb x y z
## 1 Bijodaira stream1 渓流1 31.31 0.32 1029.983
## 2 Bijodaira stream1 渓流2 30.01 5.20 1030.603
## 3 Bijodaira stream1 渓流3 27.54 10.57 1031.363
## 4 Bijodaira stream1 渓流4 25.00 16.99 1031.563
## 5 Bijodaira stream1 渓流5 24.45 20.55 1031.692
## 6 Bijodaira stream1 渓流6 25.55 25.05 1032.322
## 7 Bijodaira stream1 渓流7 29.89 33.21 1033.082
## 8 Bijodaira stream1 渓流8 34.74 43.03 1034.082
## 9 Bijodaira stream1 渓流9 35.98 54.16 1035.312
## 10 Bijodaira stream1 渓流10 40.02 66.54 1036.603
## 11 Bijodaira stream1 渓流11 40.21 72.13 1037.203
## 12 Bijodaira stream1 渓流12 38.96 80.24 1038.103
## 13 Bijodaira stream1 渓流13 36.65 90.96 1038.623
## 14 Bijodaira stream1 渓流14 36.45 95.51 1038.763
## 15 Bijodaira stream1 渓流15 36.21 102.63 1038.923
## 16 Bijodaira walk1 未測量1 96.60 100.50 NA
## 17 Bijodaira walk1 未測量2 96.20 90.00 NA
## 18 Bijodaira walk1 未測量3 90.00 66.00 NA
## 19 Bijodaira walk1 未測量4 86.80 53.30 NA
## 20 Bijodaira walk1 未測量5 85.70 25.00 NA
## 21 Bijodaira walk1 未測量6 85.20 17.00 NA
## 22 Bijodaira walk1 未測量7 85.30 7.00 NA
## 23 Bijodaira walk1 未測量8 85.70 -0.50 NA
## 24 Bijodaira walk2 未測量1 85.70 25.00 NA
## 25 Bijodaira walk2 未測量2 95.50 23.60 NA
## 26 Bijodaira walk2 未測量3 100.50 24.80 NA
## 27 Bijodaira survey P1-6 10.00 60.00 1043.000
## 28 Bijodaira survey P3-7 30.00 70.00 1041.521
## 29 Bijodaira survey P2-9 20.00 90.00 1045.578
## 30 Bijodaira survey P5-9 50.00 90.00 1044.192
## 31 Bijodaira survey P5-6 50.00 60.00 1041.560
## 32 Bijodaira survey P5-3 50.00 30.00 1041.721
## 33 Bijodaira survey P6-1 60.00 10.00 1039.888
## 34 Bijodaira survey P8-1 80.00 10.00 1041.452
## 35 Bijodaira survey P9-1 90.00 10.00 1041.207
## 36 Bijodaira survey P5-3 50.00 30.00 1041.721
## 37 Bijodaira survey P5-1 50.00 10.00 1037.395
## 38 Bijodaira survey P4-1 40.00 10.00 1037.447
## 39 Bijodaira survey P1-1 10.00 10.00 1037.177
## 40 Bijodaira survey P1-3 10.00 30.00 1038.636
## 41 Bijodaira survey P5-6 50.00 60.00 1041.560
## 42 Bijodaira survey P7-6 70.00 60.00 1045.575
## 43 Bijodaira survey P9-7 90.00 70.00 1046.764
## 44 Bijodaira survey P5-9 50.00 90.00 1044.192
## 45 Bijodaira survey P7-10 70.00 100.00 1048.560
## 46 Bijodaira survey P5-10 50.00 100.00 1045.581
## 47 Bijodaira survey P5-8 50.00 80.00 1041.395
## 48 Bijodaira survey P5-7 50.00 70.00 1041.287
## 49 Bijodaira survey P5-5 50.00 50.00 1041.469
## 50 Bijodaira survey P5-4 50.00 40.00 1042.107
## 51 Bijodaira survey P5-2 50.00 20.00 1039.690
## 52 Bijodaira survey P3-1 30.00 10.00 1032.741
## 53 Bijodaira survey P2-1 20.00 10.00 1032.604
## 54 Bijodaira survey P0-1 0.00 10.00 1039.973
## 55 Bijodaira survey P0-2 0.00 20.00 1040.998
## 56 Bijodaira survey P1-2 10.00 20.00 1037.500
## 57 Bijodaira survey P0-3 0.00 30.00 1041.912
## 58 Bijodaira survey P1-4 10.00 40.00 1040.785
## 59 Bijodaira survey P2-4 20.00 40.00 1037.604
## 60 Bijodaira survey P3-4 30.00 40.00 1034.339
## 61 Bijodaira survey P4-3 40.00 30.00 1039.760
## 62 Bijodaira survey P4-2 40.00 20.00 1039.374
## 63 Bijodaira survey P6-3 60.00 30.00 1041.243
## 64 Bijodaira survey P6-0 60.00 0.00 1037.916
## 65 Bijodaira survey P10-1 100.00 10.00 1036.741
## 66 Bijodaira survey P9-2 90.00 20.00 1042.449
## 67 Bijodaira survey P8-2 80.00 20.00 1042.674
## 68 Bijodaira survey P8-3 80.00 30.00 1043.310
## 69 Bijodaira survey P8-4 80.00 40.00 1044.096
## 70 Bijodaira survey P9-3 90.00 30.00 1042.613
## 71 Bijodaira survey P4-6 40.00 60.00 1036.878
## 72 Bijodaira survey P6-5 60.00 50.00 1044.050
## 73 Bijodaira survey P7-5 70.00 50.00 1044.311
## 74 Bijodaira survey P9-5 90.00 50.00 1045.418
## 75 Bijodaira survey P8-6 80.00 60.00 1045.330
## 76 Bijodaira survey P7-7 70.00 70.00 1045.642
## 77 Bijodaira survey P8-7 80.00 70.00 1046.378
## 78 Bijodaira survey P9-8 90.00 80.00 1047.497
## 79 Bijodaira survey P10-8 100.00 80.00 1047.644
## 80 Bijodaira survey P6-8 60.00 80.00 1044.368
## 81 Bijodaira survey P6-9 60.00 90.00 1045.856
## 82 Bijodaira survey P6-10 60.00 100.00 1047.869
## 83 Bijodaira survey P8-10 80.00 100.00 1049.549
## 84 Bijodaira survey P9-10 90.00 100.00 1049.813
## 85 Bijodaira survey P8-9 80.00 90.00 1048.742
## 86 Bijodaira survey P3-9 30.00 90.00 1041.482
## 87 Bijodaira survey P1-9 10.00 90.00 1046.062
## 88 Bijodaira survey P0-9 0.00 90.00 1047.092
## 89 Bijodaira survey P1-8 10.00 80.00 1045.554
## 90 Bijodaira survey P2-8 20.00 80.00 1045.183
## 91 Bijodaira survey P2-7 20.00 70.00 1042.516
## 92 Bijodaira survey P2-6 20.00 60.00 1040.792
## 93 Bijodaira survey P2-5 20.00 50.00 1040.403
## 94 Bijodaira survey P0-7 0.00 70.00 1045.093
## 95 Bijodaira survey P0-6 0.00 60.00 1043.954
## 96 Bijodaira survey P0-5 0.00 50.00 1043.772
## 97 Bijodaira survey P4-8 40.00 80.00 1038.323
## 98 Bijodaira survey P3-3 30.00 30.00 1033.092
## 99 Bijodaira survey P3-0 30.00 0.00 1030.413
## 100 Bijodaira survey P10-7 100.00 70.00 1046.943
## 101 Bijodaira survey P10-5 100.00 50.00 1045.557
## 102 Bijodaira survey P10-6 100.00 60.00 1046.428
## 103 Bijodaira survey P10-0 100.00 0.00 1035.156
## 104 Bijodaira survey P10-2 100.00 20.00 1040.021
## 105 Bijodaira survey P10-3 100.00 30.00 1042.244
## 106 Bunadaira survey VP10 20.22 77.27 1187.420
## 107 Bunadaira survey VP11 14.58 35.00 1186.250
## 108 Bunadaira survey VP19 16.67 11.25 1187.748
## 109 Bunadaira survey VP03 32.85 60.65 1188.030
## 110 Bunadaira survey VP13 28.87 14.90 1187.500
## 111 Bunadaira survey VP09 43.83 88.67 1187.320
## 112 Bunadaira survey VP12 41.69 11.38 1189.860
## 113 Bunadaira survey VP02 53.62 62.03 1187.380
## 114 Bunadaira survey VP08 73.40 90.79 1188.370
## 115 Bunadaira survey VP15 70.72 14.95 1188.480
## 116 Bunadaira survey VP06 86.75 55.45 1187.930
## 117 Bunadaira survey VP17 85.72 48.42 1188.160
## 118 Bunadaira survey VP01 82.00 23.00 1188.000
## 119 Bunadaira survey VP16 85.60 17.71 1188.210
## 120 Bunadaira survey VP18 96.10 82.41 1189.150
## 121 Bunadaira survey VP07 96.94 82.91 1189.090
## 122 Bunadaira survey VP05 96.48 33.77 1188.860
## 123 Bunadaira survey VP04 102.93 12.82 1187.610
## 124 Bunadaira walk1 未測量1 -0.50 11.70 NA
## 125 Bunadaira walk1 未測量2 16.60 10.90 NA
## 126 Bunadaira walk1 未測量3 26.00 12.00 NA
## 127 Bunadaira walk1 未測量4 36.00 15.30 NA
## 128 Bunadaira walk1 未測量5 55.50 11.10 NA
## 129 Bunadaira walk1 未測量6 64.50 13.20 NA
## 130 Bunadaira walk1 未測量7 77.00 18.50 NA
## 131 Bunadaira walk1 未測量8 87.00 18.00 NA
## 132 Bunadaira walk1 未測量9 100.50 16.60 NA
## 133 Bunazaka survey B001 16.45 29.35 1093.269
## 134 Bunazaka survey B002 30.31 12.43 1091.772
## 135 Bunazaka survey B003 38.50 52.82 1097.927
## 136 Bunazaka survey B004 44.90 60.11 1098.800
## 137 Bunazaka survey B005 18.15 80.47 1090.357
## 138 Bunazaka survey B006 3.28 98.19 1090.513
## 139 Bunazaka survey B007 26.38 96.03 1092.120
## 140 Bunazaka survey B008 49.16 95.92 1094.951
## 141 Bunazaka survey B009 77.13 88.91 1099.509
## 142 Bunazaka survey B010 83.29 82.90 1099.338
## 143 Bunazaka survey B011 82.13 69.83 1098.833
## 144 Bunazaka survey B012 87.79 39.86 1098.173
## 145 Bunazaka survey B013 96.20 28.54 1100.951
## 146 Bunazaka survey B014 89.94 15.28 1101.542
## 147 Bunazaka survey B015 39.89 43.53 1096.417
## 148 Bunazaka survey 杭0.0 0.00 0.00 1088.052
## 149 Bunazaka survey 杭10.0 10.00 0.00 1088.142
## 150 Bunazaka survey 杭20.0 20.00 0.00 1089.702
## 151 Bunazaka survey 杭30.0 30.00 0.00 1089.942
## 152 Bunazaka survey 杭40.0 40.00 0.00 1091.352
## 153 Bunazaka survey 杭50.0 50.00 0.00 1089.382
## 154 Bunazaka stream1 渓流1 59.64 -3.62 1085.680
## 155 Bunazaka stream1 渓流2 55.98 0.65 1086.230
## 156 Bunazaka stream1 渓流3 54.06 3.55 1086.850
## 157 Bunazaka stream1 渓流4 55.01 9.42 1087.370
## 158 Bunazaka stream1 渓流5 59.29 14.81 1088.930
## 159 Bunazaka stream1 渓流6 61.40 16.00 1089.010
## 160 Bunazaka stream1 渓流7 65.89 21.46 1090.030
## 161 Bunazaka stream1 渓流8 70.45 26.28 1090.600
## 162 Bunazaka stream1 渓流9 73.80 34.02 1091.410
## 163 Bunazaka stream1 渓流10 75.69 39.40 1091.870
## 164 Bunazaka stream1 渓流11 74.76 45.28 1092.290
## 165 Bunazaka stream2 渓流11 74.76 45.28 1092.290
## 166 Bunazaka stream2 渓流12 78.33 49.08 1092.540
## [ reached 'max' / getOption("max.print") -- omitted 3854 rows ]6 Function:
RData_rasXYZ
Documentation:
Title
Description:
Title
Usage:
RData_rasXYZ()
Examples:
par(mfrow=c(3,3))
for(i in 1:nrow(plt)){
contour(rasXYZ[[i]],main=plt$na[i])
}
ggplot() +
geom_contour(data =rasXYZ[[1]], aes(x = x, y = y, z = z), color = "blue")
Examples (from .Rd):
### Name: RData_rasXYZ
### Title: Title
### Aliases: RData_rasXYZ
### ** Examples
par(mfrow=c(3,3))
for(i in 1:nrow(plt)){
contour(rasXYZ[[i]],main=plt$na[i])
}
ggplot() +
geom_contour(data =rasXYZ[[1]], aes(x = x, y = y, z = z), color = "blue")
Executed Example:
try(example('RData_rasXYZ', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## RD_XYZ> par(mfrow=c(3,3))
##
## RD_XYZ> for(i in 1:nrow(plt)){
## RD_XYZ+ contour(rasXYZ[[i]],main=plt$na[i])
## RD_XYZ+ }##
## RD_XYZ> ggplot() +
## RD_XYZ+ geom_contour(data =rasXYZ[[1]], aes(x = x, y = y, z = z), color = "blue")
7 Function:
RData_subplot_xy
Documentation:
data/RData
Description:
data/RData
Usage:
RData_subplot_xy()
Examples:
.<-subplot_xy
head(.)
table(.$plot)
plot(1:100,type="n")
i<-.$plot=="Bunazaka"
text(.$x[i],.$y[i],.$subplot[i])
RData_subplot_xy()
Examples (from .Rd):
### Name: RData_subplot_xy
### Title: data/RData
### Aliases: RData_subplot_xy
### ** Examples
.<-subplot_xy
head(.)
table(.$plot)
plot(1:100,type="n")
i<-.$plot=="Bunazaka"
text(.$x[i],.$y[i],.$subplot[i])
RData_subplot_xy()
Executed Example:
try(example('RData_subplot_xy', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## RDt_s_> .<-subplot_xy
##
## RDt_s_> head(.)
## plot x y subplot
## 1 Bijodaira 55 55 1
## 2 Bijodaira 55 65 2
## 3 Bijodaira 55 75 3
## 4 Bijodaira 55 85 4
## 5 Bijodaira 55 95 5
## 6 Bijodaira 65 55 6
##
## RDt_s_> table(.$plot)
##
## Arimine Bijodaira Bunadaira Bunazaka Joudosan Kagamiishi Kaminokodaira Matsuotoge Mimatsu
## 25 25 25 28 25 25 25 50 25
##
## RDt_s_> plot(1:100,type="n")
##
## RDt_s_> i<-.$plot=="Bunazaka"
##
## RDt_s_> text(.$x[i],.$y[i],.$subplot[i])
##
## RDt_s_> RData_subplot_xy()
## [1] "This is data !!"8 Function:
RData_topo
Documentation:
RData_topo
中島さんが測量した調査区内の小川や歩道，補足測量点のデータをtopoとしてまとめる
Description:
RData_topo
中島さんが測量した調査区内の小川や歩道，補足測量点のデータをtopoとしてまとめる
Usage:
RData_topo()
Examples:
# not run !! see body of this function with type 'RData_topo'
topo
Examples (from .Rd):
### Name: RData_topo
### Title: RData_topo
### 中島さんが測量した調査区内の小川や歩道，補足測量点のデータをtopoとしてまとめる
### Aliases: RData_topo
### ** Examples
# not run !! see body of this function with type 'RData_topo'
topo
Executed Example:
try(example('RData_topo', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## RDt_tp> # not run !! see body of this function with type 'RData_topo'
## RDt_tp> topo
## plot sp lb x y z memo
## 1 Bijodaira stream1 渓流1 31.31 0.32 1029.983
## 2 Bijodaira stream1 渓流2 30.01 5.20 1030.603
## 3 Bijodaira stream1 渓流3 27.54 10.57 1031.363
## 4 Bijodaira stream1 渓流4 25.00 16.99 1031.563
## 5 Bijodaira stream1 渓流5 24.45 20.55 1031.692
## 6 Bijodaira stream1 渓流6 25.55 25.05 1032.322
## 7 Bijodaira stream1 渓流7 29.89 33.21 1033.082
## 8 Bijodaira stream1 渓流8 34.74 43.03 1034.082
## 9 Bijodaira stream1 渓流9 35.98 54.16 1035.312
## 10 Bijodaira stream1 渓流10 40.02 66.54 1036.603
## 11 Bijodaira stream1 渓流11 40.21 72.13 1037.203
## 12 Bijodaira stream1 渓流12 38.96 80.24 1038.103
## 13 Bijodaira stream1 渓流13 36.65 90.96 1038.623
## 14 Bijodaira stream1 渓流14 36.45 95.51 1038.763
## 15 Bijodaira stream1 渓流15 36.21 102.63 1038.923
## 16 Bijodaira walk1 未測量1 96.60 100.50 NA いずれも未測量，xyは現地で目算
## 17 Bijodaira walk1 未測量2 96.20 90.00 NA
## 18 Bijodaira walk1 未測量3 90.00 66.00 NA
## 19 Bijodaira walk1 未測量4 86.80 53.30 NA
## 20 Bijodaira walk1 未測量5 85.70 25.00 NA
## 21 Bijodaira walk1 未測量6 85.20 17.00 NA
## 22 Bijodaira walk1 未測量7 85.30 7.00 NA
## 23 Bijodaira walk1 未測量8 85.70 -0.50 NA
## 24 Bijodaira walk2 未測量1 85.70 25.00 NA いずれも未測量，xyは現地で目算
## 25 Bijodaira walk2 未測量2 95.50 23.60 NA
## 26 Bijodaira walk2 未測量3 100.50 24.80 NA
## 27 Bijodaira survey P1-6 10.00 60.00 1043.000
## 28 Bijodaira survey P3-7 30.00 70.00 1041.521
## 29 Bijodaira survey P2-9 20.00 90.00 1045.578
## 30 Bijodaira survey P5-9 50.00 90.00 1044.192
## 31 Bijodaira survey P5-6 50.00 60.00 1041.560
## 32 Bijodaira survey P5-3 50.00 30.00 1041.721
## 33 Bijodaira survey P6-1 60.00 10.00 1039.888
## 34 Bijodaira survey P8-1 80.00 10.00 1041.452
## 35 Bijodaira survey P9-1 90.00 10.00 1041.207
## 36 Bijodaira survey P5-3 50.00 30.00 1041.721
## 37 Bijodaira survey P5-1 50.00 10.00 1037.395
## 38 Bijodaira survey P4-1 40.00 10.00 1037.447
## 39 Bijodaira survey P1-1 10.00 10.00 1037.177
## 40 Bijodaira survey P1-3 10.00 30.00 1038.636
## 41 Bijodaira survey P5-6 50.00 60.00 1041.560
## 42 Bijodaira survey P7-6 70.00 60.00 1045.575
## 43 Bijodaira survey P9-7 90.00 70.00 1046.764
## 44 Bijodaira survey P5-9 50.00 90.00 1044.192
## 45 Bijodaira survey P7-10 70.00 100.00 1048.560
## 46 Bijodaira survey P5-10 50.00 100.00 1045.581
## 47 Bijodaira survey P5-8 50.00 80.00 1041.395
## 48 Bijodaira survey P5-7 50.00 70.00 1041.287
## 49 Bijodaira survey P5-5 50.00 50.00 1041.469
## 50 Bijodaira survey P5-4 50.00 40.00 1042.107
## 51 Bijodaira survey P5-2 50.00 20.00 1039.690
## 52 Bijodaira survey P3-1 30.00 10.00 1032.741
## 53 Bijodaira survey P2-1 20.00 10.00 1032.604
## 54 Bijodaira survey P0-1 0.00 10.00 1039.973
## 55 Bijodaira survey P0-2 0.00 20.00 1040.998
## 56 Bijodaira survey P1-2 10.00 20.00 1037.500
## 57 Bijodaira survey P0-3 0.00 30.00 1041.912
## 58 Bijodaira survey P1-4 10.00 40.00 1040.785
## 59 Bijodaira survey P2-4 20.00 40.00 1037.604
## 60 Bijodaira survey P3-4 30.00 40.00 1034.339
## 61 Bijodaira survey P4-3 40.00 30.00 1039.760
## 62 Bijodaira survey P4-2 40.00 20.00 1039.374
## 63 Bijodaira survey P6-3 60.00 30.00 1041.243
## 64 Bijodaira survey P6-0 60.00 0.00 1037.916
## 65 Bijodaira survey P10-1 100.00 10.00 1036.741
## 66 Bijodaira survey P9-2 90.00 20.00 1042.449
## 67 Bijodaira survey P8-2 80.00 20.00 1042.674
## 68 Bijodaira survey P8-3 80.00 30.00 1043.310
## 69 Bijodaira survey P8-4 80.00 40.00 1044.096
## 70 Bijodaira survey P9-3 90.00 30.00 1042.613
## 71 Bijodaira survey P4-6 40.00 60.00 1036.878
## 72 Bijodaira survey P6-5 60.00 50.00 1044.050
## 73 Bijodaira survey P7-5 70.00 50.00 1044.311
## 74 Bijodaira survey P9-5 90.00 50.00 1045.418
## 75 Bijodaira survey P8-6 80.00 60.00 1045.330
## 76 Bijodaira survey P7-7 70.00 70.00 1045.642
## 77 Bijodaira survey P8-7 80.00 70.00 1046.378
## 78 Bijodaira survey P9-8 90.00 80.00 1047.497
## 79 Bijodaira survey P10-8 100.00 80.00 1047.644
## 80 Bijodaira survey P6-8 60.00 80.00 1044.368
## 81 Bijodaira survey P6-9 60.00 90.00 1045.856
## 82 Bijodaira survey P6-10 60.00 100.00 1047.869
## 83 Bijodaira survey P8-10 80.00 100.00 1049.549
## 84 Bijodaira survey P9-10 90.00 100.00 1049.813
## 85 Bijodaira survey P8-9 80.00 90.00 1048.742
## 86 Bijodaira survey P3-9 30.00 90.00 1041.482
## 87 Bijodaira survey P1-9 10.00 90.00 1046.062
## 88 Bijodaira survey P0-9 0.00 90.00 1047.092
## 89 Bijodaira survey P1-8 10.00 80.00 1045.554
## 90 Bijodaira survey P2-8 20.00 80.00 1045.183
## 91 Bijodaira survey P2-7 20.00 70.00 1042.516
## 92 Bijodaira survey P2-6 20.00 60.00 1040.792
## 93 Bijodaira survey P2-5 20.00 50.00 1040.403
## 94 Bijodaira survey P0-7 0.00 70.00 1045.093
## 95 Bijodaira survey P0-6 0.00 60.00 1043.954
## 96 Bijodaira survey P0-5 0.00 50.00 1043.772
## 97 Bijodaira survey P4-8 40.00 80.00 1038.323
## 98 Bijodaira survey P3-3 30.00 30.00 1033.092
## 99 Bijodaira survey P3-0 30.00 0.00 1030.413
## 100 Bijodaira survey P10-7 100.00 70.00 1046.943
## 101 Bijodaira survey P10-5 100.00 50.00 1045.557
## 102 Bijodaira survey P10-6 100.00 60.00 1046.428
## 103 Bijodaira survey P10-0 100.00 0.00 1035.156
## 104 Bijodaira survey P10-2 100.00 20.00 1040.021
## 105 Bijodaira survey P10-3 100.00 30.00 1042.244
## 106 Bunadaira survey VP10 20.22 77.27 1187.420
## 107 Bunadaira survey VP11 14.58 35.00 1186.250
## 108 Bunadaira survey VP19 16.67 11.25 1187.748
## 109 Bunadaira survey VP03 32.85 60.65 1188.030
## 110 Bunadaira survey VP13 28.87 14.90 1187.500
## 111 Bunadaira survey VP09 43.83 88.67 1187.320
## 112 Bunadaira survey VP12 41.69 11.38 1189.860
## 113 Bunadaira survey VP02 53.62 62.03 1187.380
## 114 Bunadaira survey VP08 73.40 90.79 1188.370
## 115 Bunadaira survey VP15 70.72 14.95 1188.480
## 116 Bunadaira survey VP06 86.75 55.45 1187.930
## 117 Bunadaira survey VP17 85.72 48.42 1188.160
## 118 Bunadaira survey VP01 82.00 23.00 1188.000
## 119 Bunadaira survey VP16 85.60 17.71 1188.210
## 120 Bunadaira survey VP18 96.10 82.41 1189.150
## 121 Bunadaira survey VP07 96.94 82.91 1189.090
## 122 Bunadaira survey VP05 96.48 33.77 1188.860
## 123 Bunadaira survey VP04 102.93 12.82 1187.610
## 124 Bunadaira walk1 未測量1 -0.50 11.70 NA いずれも未測量，xyは現地で目算
## 125 Bunadaira walk1 未測量2 16.60 10.90 NA
## 126 Bunadaira walk1 未測量3 26.00 12.00 NA
## 127 Bunadaira walk1 未測量4 36.00 15.30 NA
## 128 Bunadaira walk1 未測量5 55.50 11.10 NA
## 129 Bunadaira walk1 未測量6 64.50 13.20 NA
## 130 Bunadaira walk1 未測量7 77.00 18.50 NA
## 131 Bunadaira walk1 未測量8 87.00 18.00 NA
## 132 Bunadaira walk1 未測量9 100.50 16.60 NA
## 133 Bunazaka survey B001 16.45 29.35 1093.269
## 134 Bunazaka survey B002 30.31 12.43 1091.772
## 135 Bunazaka survey B003 38.50 52.82 1097.927
## 136 Bunazaka survey B004 44.90 60.11 1098.800
## 137 Bunazaka survey B005 18.15 80.47 1090.357
## 138 Bunazaka survey B006 3.28 98.19 1090.513
## 139 Bunazaka survey B007 26.38 96.03 1092.120
## 140 Bunazaka survey B008 49.16 95.92 1094.951
## 141 Bunazaka survey B009 77.13 88.91 1099.509
## 142 Bunazaka survey B010 83.29 82.90 1099.338
## [ reached 'max' / getOption("max.print") -- omitted 57 rows ]9 Function:
RData_treesXYZ
Documentation:
data/RData
Description:
data/RData
Usage:
RData_treesXYZ()
Examples:
treesXYZ
Examples (from .Rd):
### Name: RData_treesXYZ
### Title: data/RData
### Aliases: RData_treesXYZ
### ** Examples
treesXYZ
Executed Example:
try(example('RData_treesXYZ', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## RD_XYZ> treesXYZ
## plot sp lb x y z
## 1 Bijodaira ミズナラ 1 98.8000000 2.0800000 1033.826
## 2 Bijodaira スギ 2 99.9200000 4.7000000 1033.256
## 3 Bijodaira スギ 550 93.0186000 1.7285700 1039.207
## 4 Bijodaira スギ 551 95.6084000 6.3150500 1039.705
## 5 Bijodaira スギ 552 94.8704000 4.9388900 1039.143
## 6 Bijodaira スギ 553 92.3235000 6.8940900 1040.410
## 7 Bijodaira スギ 554 92.0305000 8.3674200 1041.132
## 8 Bijodaira スギ 555 90.9334000 8.5062200 1041.089
## 9 Bijodaira スギ 556 90.8086000 5.8785700 1041.407
## 10 Bijodaira ブナ 3 85.4036000 9.4255000 1042.486
## 11 Bijodaira ブナ 87 84.4136000 9.2855000 NA
## 12 Bijodaira スギ 557 76.6747000 4.5735400 1041.571
## 13 Bijodaira スギ 558 74.1547000 2.4035400 1041.511
## 14 Bijodaira スギ 559 75.8047000 3.2935400 1041.541
## 15 Bijodaira スギ 560 72.4447000 2.9835400 1041.511
## 16 Bijodaira スギ 561 70.9647000 1.4935400 1041.461
## 17 Bijodaira スギ 562 70.1747000 0.6535400 1041.421
## 18 Bijodaira スギ 563 69.7047000 4.1935400 1041.481
## 19 Bijodaira ウリハダカエデ 4 66.9800000 0.0500000 NA
## 20 Bijodaira ウリハダカエデ 5 66.7933000 4.5079800 1038.110
## 21 Bijodaira ブナ 6 64.8733000 7.6479800 1038.830
## 22 Bijodaira ホオノキ 564 64.0133000 7.3879800 1038.670
## 23 Bijodaira ホオノキ 565 63.7533000 7.5279800 1038.670
## 24 Bijodaira スギ 566 59.8394000 5.6193300 1038.208
## 25 Bijodaira スギ 567 57.9623000 6.6529500 1037.375
## 26 Bijodaira スギ 568 60.1335000 1.0005900 1038.649
## 27 Bijodaira スギ 569 57.7218000 2.0155500 1036.712
## 28 Bijodaira スギ 570 56.6270000 2.1323300 1036.435
## 29 Bijodaira スギ 571 51.4923000 1.9482100 1035.510
## 30 Bijodaira スギ 572 52.8423000 8.3082100 1036.690
## 31 Bijodaira スギ 573 47.4623000 8.3982100 1036.670
## 32 Bijodaira スギ 574 46.4048000 12.3153000 1038.595
## 33 Bijodaira スギ 575 46.1023000 9.6482100 1037.240
## 34 Bijodaira スギ 576 45.8723000 8.1882100 1037.020
## 35 Bijodaira スギ 577 47.8872000 6.6057300 1036.213
## 36 Bijodaira スギ 578 45.9324000 5.9039200 1037.338
## 37 Bijodaira スギ 579 45.5080000 5.0111700 1037.244
## 38 Bijodaira スギ 580 46.2118000 2.0933300 1036.345
## 39 Bijodaira スギ 581 46.4329000 1.0815100 1036.492
## 40 Bijodaira スギ 582 41.5165000 0.3156940 1036.582
## 41 Bijodaira スギ 583 40.4199000 1.4150600 1036.642
## 42 Bijodaira ブナ 88 37.6199000 4.8450600 NA
## 43 Bijodaira ブナ 7 37.0199000 4.3250600 1035.952
## 44 Bijodaira ブナ 584 36.7799000 1.7550600 1035.122
## 45 Bijodaira ブナ 8 38.4999000 -1.0749400 1034.752
## 46 Bijodaira ブナ 9 34.7899000 -0.1749400 1033.762
## 47 Bijodaira ブナ 585 32.6699000 3.0050600 1033.852
## 48 Bijodaira ブナ 586 32.1099000 4.6850600 1033.912
## 49 Bijodaira ブナ 10 29.7099000 1.9150600 1031.802
## 50 Bijodaira スギ 587 22.9076000 2.8750800 1030.808
## 51 Bijodaira スギ 588 17.5692000 -0.0812644 1035.048
## 52 Bijodaira ブナ 11 18.4615000 4.8777800 1034.298
## 53 Bijodaira スギ 589 16.6815000 5.1277800 1035.468
## 54 Bijodaira アオダモ 89 12.1376000 7.9935700 NA
## 55 Bijodaira スギ 590 12.6788000 5.3973100 1034.861
## 56 Bijodaira スギ 591 9.7702100 0.5975880 1038.187
## 57 Bijodaira スギ 592 8.7622400 0.9641120 1038.331
## 58 Bijodaira スギ 593 4.2720000 0.2217870 1038.264
## 59 Bijodaira スギ 594 0.5032700 4.4699800 1038.719
## 60 Bijodaira スギ 595 2.1439000 7.2755900 1038.909
## 61 Bijodaira スギ 596 5.2552600 4.2447600 1038.040
## 62 Bijodaira スギ 12 7.5676000 7.0135700 1036.797
## 63 Bijodaira スギ 597 10.6676000 6.9635700 1036.077
## 64 Bijodaira スギ 598 10.7316000 10.6052000 1037.344
## 65 Bijodaira スギ 599 15.6435000 12.8508000 1033.933
## 66 Bijodaira スギ 600 15.2043000 11.3266000 1035.827
## 67 Bijodaira スギ 601 18.1488000 8.4012600 1033.124
## 68 Bijodaira スギ 602 18.1731000 15.4696000 1034.225
## 69 Bijodaira スギ 603 17.4862000 15.7299000 1034.286
## 70 Bijodaira スギ 604 17.2923000 16.4748000 1034.700
## 71 Bijodaira ブナ 605 20.2347000 17.0836000 1035.393
## 72 Bijodaira スギ 606 20.0047000 19.2736000 1035.763
## 73 Bijodaira ブナ 13 22.1647000 20.8936000 1035.513
## 74 Bijodaira アオダモ 14 17.9347000 23.1536000 1036.463
## 75 Bijodaira トチノキ 15 11.4669000 21.2111000 1037.250
## 76 Bijodaira スギ 607 11.7769000 18.0811000 1037.070
## 77 Bijodaira スギ 608 10.9396000 17.0019000 1037.474
## 78 Bijodaira スギ 609 8.5594600 19.0049000 1038.767
## 79 Bijodaira ホオノキ 610 7.1798100 16.0033000 1037.946
## 80 Bijodaira ウワミズザクラ 611 5.0988100 13.2233000 1038.390
## 81 Bijodaira ブナ 65 2.7405460 13.0801000 1038.750
## 82 Bijodaira スギ 612 0.4005460 16.6901000 1039.840
## 83 Bijodaira スギ 613 0.0632952 22.7470000 1040.646
## 84 Bijodaira スギ 614 0.0253342 22.7411000 1040.623
## 85 Bijodaira スギ 615 2.3602800 23.6534000 1041.845
## 86 Bijodaira スギ 16 5.0002800 21.6634000 1040.065
## 87 Bijodaira スギ 616 8.2319900 23.7516000 1037.508
## 88 Bijodaira スギ 617 10.7357000 27.0832000 1038.766
## 89 Bijodaira スギ 618 12.1895000 25.6595000 1038.202
## 90 Bijodaira スギ 619 12.9498000 24.9484000 1036.134
## 91 Bijodaira スギ 620 15.1098000 25.9984000 1035.854
## 92 Bijodaira スギ 621 25.1501000 33.4789000 1035.147
## 93 Bijodaira スギ 622 21.8273000 32.9850000 1035.340
## 94 Bijodaira トチノキ 623 25.5360000 40.1546000 1034.973
## 95 Bijodaira トチノキ 624 25.5201000 40.6973000 1035.304
## 96 Bijodaira スギ 625 24.9975000 43.5516000 1036.399
## 97 Bijodaira スギ 626 22.1801000 39.2589000 1037.817
## 98 Bijodaira スギ 627 16.8199000 40.2106000 1040.799
## 99 Bijodaira スギ 628 15.4781000 40.0765000 1040.021
## 100 Bijodaira スギ 629 13.8707000 41.1760000 1039.682
## 101 Bijodaira ブナ 17 14.9169000 38.6281000 1040.201
## 102 Bijodaira ブナ 66 14.9169000 38.6281000 1040.201
## 103 Bijodaira コシアブラ 630 13.8169000 38.7081000 1039.951
## 104 Bijodaira スギ 631 8.5740400 37.8619000 1039.496
## 105 Bijodaira スギ 632 10.3774000 33.6476000 1039.373
## 106 Bijodaira スギ 633 5.8133700 29.3992000 1040.013
## 107 Bijodaira スギ 634 4.0835200 30.1640000 1040.565
## 108 Bijodaira スギ 635 3.9351100 33.1301000 1040.405
## 109 Bijodaira スギ 636 4.4562900 40.3779000 1041.981
## 110 Bijodaira スギ 637 5.4098600 38.4511000 1043.791
## 111 Bijodaira ミズナラ 638 8.3119000 40.6582000 1040.320
## 112 Bijodaira スギ 639 6.0389200 47.1196000 1042.875
## 113 Bijodaira スギ 640 10.2585000 46.1678000 1042.441
## 114 Bijodaira スギ 641 12.2782000 46.7789000 1043.011
## 115 Bijodaira スギ 642 13.8110000 45.3232000 1041.779
## 116 Bijodaira スギ 643 16.1210000 44.6632000 1040.929
## 117 Bijodaira ウワミズザクラ 644 20.7324000 50.7453000 1040.873
## 118 Bijodaira ブナ 18 21.7674000 48.4877000 1037.581
## 119 Bijodaira ホオノキ 645 29.3845000 44.9047000 1036.726
## 120 Bijodaira ホオノキ 19 33.8874000 45.5777000 1033.991
## 121 Bijodaira トチノキ 67 27.1174000 49.1377000 1036.411
## 122 Bijodaira スギ 646 27.1774000 49.9377000 1036.591
## 123 Bijodaira スギ 647 27.7339000 54.7045000 1038.394
## 124 Bijodaira スギ 648 24.6137000 53.8102000 1037.732
## 125 Bijodaira スギ 649 21.7942000 54.8766000 1038.436
## 126 Bijodaira スギ 650 23.7112000 58.7438000 1039.079
## 127 Bijodaira スギ 651 23.9545000 61.7524000 1039.580
## 128 Bijodaira ブナ 20 31.1289000 58.7013000 1038.727
## 129 Bijodaira スギ 652 32.2689000 64.0813000 1040.947
## 130 Bijodaira ブナ 21 36.9289000 61.4813000 1038.267
## 131 Bijodaira ウワミズザクラ 653 35.2003000 67.5861000 1038.177
## 132 Bijodaira スギ 654 38.6400000 81.2316000 1038.972
## 133 Bijodaira スギ 655 34.0929000 79.0002000 1040.317
## 134 Bijodaira スギ 656 35.2233000 70.5214000 1039.815
## 135 Bijodaira スギ 657 34.3447000 71.0270000 1040.355
## 136 Bijodaira スギ 658 32.8176000 71.4048000 1039.996
## 137 Bijodaira スギ 659 31.1215000 72.6942000 1042.069
## 138 Bijodaira スギ 660 27.9715000 68.1842000 1042.249
## 139 Bijodaira スギ 661 26.7315000 69.3842000 1042.499
## 140 Bijodaira スギ 662 21.9081000 62.9160000 1040.429
## 141 Bijodaira スギ 663 19.5860000 60.2953000 1041.330
## 142 Bijodaira スギ 664 13.1105000 55.6924000 1041.363
## 143 Bijodaira スギ 665 15.8974000 53.8226000 1041.860
## 144 Bijodaira スギ 666 13.3805000 53.1024000 1041.203
## 145 Bijodaira スギ 667 16.0498000 51.0979000 1040.486
## 146 Bijodaira スギ 668 12.2366000 50.7923000 1042.926
## 147 Bijodaira スギ 669 7.7171200 51.7311000 1043.550
## 148 Bijodaira スギ 670 7.5232000 54.5066000 1042.553
## 149 Bijodaira スギ 671 1.6480300 61.5216000 1043.274
## 150 Bijodaira スギ 672 4.4661500 53.6453000 1044.669
## 151 Bijodaira スギ 673 3.6064100 52.2660000 1044.727
## 152 Bijodaira スギ 674 4.6112700 57.6007000 1042.865
## 153 Bijodaira スギ 675 7.4134500 58.6394000 1042.579
## 154 Bijodaira スギ 676 9.7334500 60.2094000 1042.319
## 155 Bijodaira スギ 677 9.3634500 62.0194000 1042.489
## 156 Bijodaira トチノキ 68 12.0634500 63.0894000 1041.129
## 157 Bijodaira スギ 678 9.8022500 67.0778000 1043.203
## 158 Bijodaira スギ 679 12.8625000 67.2190000 1043.885
## 159 Bijodaira スギ 680 14.5608000 72.6761000 1044.076
## 160 Bijodaira スギ 681 18.9310000 74.5514000 1044.417
## 161 Bijodaira スギ 682 21.1437000 75.0462000 1044.512
## 162 Bijodaira スギ 683 23.2019000 70.3818000 1042.015
## 163 Bijodaira スギ 684 25.1064000 72.0459000 1043.648
## 164 Bijodaira スギ 685 27.0382000 74.0635000 1043.495
## 165 Bijodaira スギ 686 25.0769000 75.3804000 1043.986
## 166 Bijodaira スギ 687 27.9101000 75.8295000 1043.478
## [ reached 'max' / getOption("max.print") -- omitted 3655 rows ]10 Function:
ggplot_contour_data
Documentation:
Akimaのinterpで出力したコンタデータをggplotのgeom_contour
で描画できるデータフレームに変換する関数
Description:
Akimaのinterpで出力したコンタデータをggplotのgeom_contour
で描画できるデータフレームに変換する関数
Usage:
ggplot_contour_data(interp_res = interp_res)
Arguments:
interp_res: Akimaのinterpで出力したリスト型のコンタデータ
Value:
ggplotのgeom_contourで描画できるデータフレーム
Examples:
plot.name<-"Bunazaka" #"Mimatsu"
interp_res <-rasXYZ[[which(names(rasXYZ)==plot.name)]]
interp_df<-ggplot_contour_data(interp_res)
ggplot() +
geom_contour(data = interp_df, aes(x = x, y = y, z = z), color = "blue")
Examples (from .Rd):
### Name: ggplot_contour_data
### Title: Akimaのinterpで出力したコンタデータをggplotのgeom_contour
### で描画できるデータフレームに変換する関数
### Aliases: ggplot_contour_data
### ** Examples
plot.name<-"Bunazaka" #"Mimatsu"
interp_res <-rasXYZ[[which(names(rasXYZ)==plot.name)]]
interp_df<-ggplot_contour_data(interp_res)
ggplot() +
geom_contour(data = interp_df, aes(x = x, y = y, z = z), color = "blue")
Executed Example:
try(example('ggplot_contour_data', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## ggpl__> plot.name<-"Bunazaka" #"Mimatsu"
##
## ggpl__> interp_res <-rasXYZ[[which(names(rasXYZ)==plot.name)]]
##
## ggpl__> interp_df<-ggplot_contour_data(interp_res)
##
## ggpl__> ggplot() +
## ggpl__+ geom_contour(data = interp_df, aes(x = x, y = y, z = z), color = "blue")## Warning: Removed 187 rows containing non-finite outside the scale range (`stat_contour()`).
11 Function:
hindo
Documentation:
Title
Description:
Title
Usage:
hindo(r)
Arguments:
r:
Executed Example:
try(example('hindo', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)## Warning in example("hindo", package = "TateyamaVegetation", echo = TRUE, : 'hindo' にはヘルプファイルはありますが、実行例はありません12 Function:
package_docs_with_examples
Documentation:
Generate Package Documentation with Examples and Knit to HTML
Description:
Generate Package Documentation with Examples and Knit to HTML
Usage:
package_docs_with_examples(
package_name,
output_rmd = "package_docs_with_examples.Rmd",
output_html = "package_docs_with_examples.html"
)
Arguments:
package_name: The name of the package (character string)
output_rmd: The output Rmd filename (default:
"package_docs_with_examples.Rmd")
output_html: The output HTML filename (default:
"package_docs_with_examples.html")
Value:
None. The Rmd and HTML files are generated in the current working
directory.
Examples:
package_docs_with_examples("yokoe")
Examples (from .Rd):
### Name: package_docs_with_examples
### Title: Generate Package Documentation with Examples and Knit to HTML
### Aliases: package_docs_with_examples
### ** Examples
package_docs_with_examples("yokoe")
Executed Example:
try(example('package_docs_with_examples', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## pck___> package_docs_with_examples("yokoe")## ✅ Rmd生成完了: package_docs_with_examples.Rmd## 🧶 RmdをHTMLに変換中...13 Function:
subplot_xy_ggtext
Documentation:
Title
Description:
Title
Usage:
subplot_xy_ggtext(plot.name = "Mimatsu")
Arguments:
plot.name:
Examples:
(p<-treemap(plot.name="Mimatsu"))
p+subplot_xy_ggtext("Mimatsu")
Examples (from .Rd):
### Name: subplot_xy_ggtext
### Title: Title
### Aliases: subplot_xy_ggtext
### ** Examples
(p<-treemap(plot.name="Mimatsu"))
p+subplot_xy_ggtext("Mimatsu")
Executed Example:
try(example('subplot_xy_ggtext', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## sbpl__> (p<-treemap(plot.name="Mimatsu"))## Warning: Removed 209 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: ggrepel: 36 unlabeled data points (too many overlaps). Consider increasing max.overlaps
##
## sbpl__> p+subplot_xy_ggtext("Mimatsu")## Warning: Removed 209 rows containing non-finite outside the scale range (`stat_contour()`).
## ggrepel: 36 unlabeled data points (too many overlaps). Consider increasing max.overlaps
14 Function:
subplot_xy_text
Documentation:
Title
Description:
Title
Usage:
subplot_xy_text(plot.name = "Mimatsu", ...)
Arguments:
plot.name:
Examples:
plot(1:100,type="n")
subplot_xy_text(plot.name="Mimatsu",col="red",cex=3)
subplot_xy_text(plot.name="Arimine",col="Blue",cex=2)
subplot_xy_text(plot.name="Kaminokodaira",col="Magenta",cex=2)
Examples (from .Rd):
### Name: subplot_xy_text
### Title: Title
### Aliases: subplot_xy_text
### ** Examples
plot(1:100,type="n")
subplot_xy_text(plot.name="Mimatsu",col="red",cex=3)
subplot_xy_text(plot.name="Arimine",col="Blue",cex=2)
subplot_xy_text(plot.name="Kaminokodaira",col="Magenta",cex=2)
Executed Example:
try(example('subplot_xy_text', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## sbpl__> plot(1:100,type="n")
##
## sbpl__> subplot_xy_text(plot.name="Mimatsu",col="red",cex=3)
##
## sbpl__> subplot_xy_text(plot.name="Arimine",col="Blue",cex=2)
##
## sbpl__> subplot_xy_text(plot.name="Kaminokodaira",col="Magenta",cex=2)15 Function:
topo_gg
Documentation:
Title
Description:
Title
Usage:
topo_gg(plot.name = "Mimatsu")
Arguments:
plot.name:
Examples:
x11()
pn<-"Mimatsu"
pn<-"Bijodaira"
(p<-treemap(plot.name=pn))
p+topo_gg(pn)
p+stream1
Examples (from .Rd):
### Name: topo_gg
### Title: Title
### Aliases: topo_gg
### ** Examples
x11()
pn<-"Mimatsu"
pn<-"Bijodaira"
(p<-treemap(plot.name=pn))
p+topo_gg(pn)
p+stream1
Executed Example:
try(example('topo_gg', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## top_gg> x11()
##
## top_gg> pn<-"Mimatsu"
##
## top_gg> pn<-"Bijodaira"
##
## top_gg> (p<-treemap(plot.name=pn))## Warning: Removed 141 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: ggrepel: 9 unlabeled data points (too many overlaps). Consider increasing max.overlaps##
## top_gg> p+topo_gg(pn)16 Function:
treemap
Documentation:
Title
Description:
Title
Usage:
treemap(plot.name = "Mimatsu")
Arguments:
df:
Examples:
# x11()
treemap("Bijodaira")
treemap("Bunazaka")
treemap("Bunadaira")
treemap("Kaminokodaira")
treemap("Mimatsu")
treemap("Mimatsu")+ ylim(c(45, 105))
treemap("Matsuotoge")
treemap("Kagamiishi")
treemap("Arimine")
treemap("Arimine")+ xlim(c(-5, 55))+ ylim(c(-5, 60))
#'
Examples (from .Rd):
### Name: treemap
### Title: Title
### Aliases: treemap
### ** Examples
# x11()
treemap("Bijodaira")
treemap("Bunazaka")
treemap("Bunadaira")
treemap("Kaminokodaira")
treemap("Mimatsu")
treemap("Mimatsu")+ ylim(c(45, 105))
treemap("Matsuotoge")
treemap("Kagamiishi")
treemap("Arimine")
treemap("Arimine")+ xlim(c(-5, 55))+ ylim(c(-5, 60))
#'
Executed Example:
try(example('treemap', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## treemp> # x11()
## treemp> treemap("Bijodaira")## Warning: Removed 141 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: ggrepel: 85 unlabeled data points (too many overlaps). Consider increasing max.overlaps
##
## treemp> treemap("Bunazaka")## Warning: Removed 187 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: ggrepel: 273 unlabeled data points (too many overlaps). Consider increasing max.overlaps
##
## treemp> treemap("Bunadaira")## Warning: Removed 210 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: ggrepel: 71 unlabeled data points (too many overlaps). Consider increasing max.overlaps
##
## treemp> treemap("Kaminokodaira")## Warning: Removed 175 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: ggrepel: 469 unlabeled data points (too many overlaps). Consider increasing max.overlaps
##
## treemp> treemap("Mimatsu")## Warning: Removed 209 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: ggrepel: 36 unlabeled data points (too many overlaps). Consider increasing max.overlaps
##
## treemp> treemap("Mimatsu")+ ylim(c(45, 105))## Warning: Contour data has duplicated x, y coordinates.
## ℹ 680 duplicated rows have been dropped.## Warning: Removed 138 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: Removed 5 rows containing missing values or values outside the scale range (`geom_hline()`).## Warning: Removed 149 rows containing missing values or values outside the scale range (`geom_point()`).## Warning: Removed 149 rows containing missing values or values outside the scale range (`geom_text_repel()`).## Warning: Removed 149 rows containing missing values or values outside the scale range (`geom_text()`).
## Removed 149 rows containing missing values or values outside the scale range (`geom_text()`).## Warning: Removed 7 rows containing missing values or values outside the scale range (`geom_path()`).## Warning: ggrepel: 6 unlabeled data points (too many overlaps). Consider increasing max.overlaps
##
## treemp> treemap("Matsuotoge")## Warning: Removed 326 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: ggrepel: 4 unlabeled data points (too many overlaps). Consider increasing max.overlaps
##
## treemp> treemap("Kagamiishi")## Warning: Removed 234 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: ggrepel: 2 unlabeled data points (too many overlaps). Consider increasing max.overlaps
##
## treemp> treemap("Arimine")## Warning: Removed 175 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: ggrepel: 53 unlabeled data points (too many overlaps). Consider increasing max.overlaps
##
## treemp> treemap("Arimine")+ xlim(c(-5, 55))+ ylim(c(-5, 60))## Warning: Contour data has duplicated x, y coordinates.
## ℹ 1050 duplicated rows have been dropped.## Warning: Removed 90 rows containing non-finite outside the scale range (`stat_contour()`).## Warning: Removed 5 rows containing missing values or values outside the scale range (`geom_vline()`).## Warning: Removed 4 rows containing missing values or values outside the scale range (`geom_hline()`).## Warning: Removed 205 rows containing missing values or values outside the scale range (`geom_point()`).## Warning: Removed 221 rows containing missing values or values outside the scale range (`geom_text_repel()`).## Warning: Removed 205 rows containing missing values or values outside the scale range (`geom_text()`).
## Removed 205 rows containing missing values or values outside the scale range (`geom_text()`).
##
## treemp> #'
## treemp>
## treemp>
## treemp>17 Function:
treemap_ggplot
Documentation:
Title
Description:
Title
Usage:
treemap_ggplot(df)
Arguments:
df:
Examples:
df <- data.frame(
x = runif(30, 0, 100),
y = runif(30, 0, 100),
z = runif(30, 0, 100),
dbh = runif(30, 10, 50),
id = paste0(100:129),
species = sample(c("A1", "B2", "C3"), 30, replace = TRUE),
vigor = sample(1:5, 30, replace = TRUE)
)
treemap_ggplot(df)
#'
Examples (from .Rd):
### Name: treemap_ggplot
### Title: Title
### Aliases: treemap_ggplot
### ** Examples
df <- data.frame(
x = runif(30, 0, 100),
y = runif(30, 0, 100),
z = runif(30, 0, 100),
dbh = runif(30, 10, 50),
id = paste0(100:129),
species = sample(c("A1", "B2", "C3"), 30, replace = TRUE),
vigor = sample(1:5, 30, replace = TRUE)
)
treemap_ggplot(df)
#'
Executed Example:
try(example('treemap_ggplot', package = 'TateyamaVegetation', echo=TRUE, ask=FALSE), silent = TRUE)##
## trmp_g> df <- data.frame(
## trmp_g+ x = runif(30, 0, 100),
## trmp_g+ y = runif(30, 0, 100),
## trmp_g+ z = runif(30, 0, 100),
## trmp_g+ dbh = runif(30, 10, 50),
## trmp_g+ id = paste0(100:129),
## trmp_g+ species = sample(c("A1", "B2", "C3"), 30, replace = TRUE),
## trmp_g+ vigor = sample(1:5, 30, replace = TRUE)
## trmp_g+ )
##
## trmp_g> treemap_ggplot(df)
##
## trmp_g> #'
## trmp_g>
## trmp_g>
## trmp_g>